ArticleJournal of biomedical informatics2018
Learning bundled care opportunities from electronic medical records.
Article in Journal of biomedical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Advancements in Electronic Medical Records for Clinical Trials: Enhancing Data Management and Research Efficiency.Cancers · 2025Review
- Perioperative Care Structures and Non-Routine Events: Network Analysis.Studies in health technology and informatics · 2022Article
- Clinical Application Effect of Cluster Management in Noninvasive Ventilator Nursing Care of Patients with Severe Heart Failure.Computational and mathematical methods in medicine · 2022Article
- Health information technology to improve care for people with multiple chronic conditions.Health services research · 2021Review
- Measuring Collaboration Through Concurrent Electronic Health Record Usage: Network Analysis Study.JMIR medical informatics · 2021Article
- Constructing data-derived family histories using electronic health records from a single healthcare delivery system.European journal of public health · 2020Article
- Towards the Use of Standardized Terms in Clinical Case Studies for Process Mining in Healthcare.International journal of environmental research and public health · 2020Article
- Applications of Machine Learning Using Electronic Medical Records in Spine Surgery.Neurospine · 2019Article
- Provider Networks in the Neonatal Intensive Care Unit Associate with Length of Stay.... IEEE Conference on Collaboration and Internet Computing. IEEE Conference on Collaboration and Internet Computing · 2019Article
- Modeling Care Team Structures in the Neonatal Intensive Care Unit through Network Analysis of EHR Audit Logs.Methods of information in medicine · 2019Article
- Temporal and Atemporal Provider Network Analysis in a Breast Cancer Cohort from an Academic Medical Center (USA).Informatics (MDPI) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveThe traditional fee-for-service approach to healthcare can lead to the management of a patient's conditions in a siloed manner, inducing various negative consequences. It has been recognized that a bundled approach to healthcare - one that manages a collection of health conditions together - may enable greater efficacy and cost savings. However, it is not always evident which sets of conditions should be managed in a bundled manner. In this study, we investigate if a data-driven approach can automatically learn potential bundles.
methodsWe designed a framework to infer health condition collections (HCCs) based on the similarity of their clinical workflows, according to electronic medical record (EMR) utilization. We evaluated the framework with data from over 16,500 inpatient stays from Northwestern Memorial Hospital in Chicago, Illinois. The plausibility of the inferred HCCs for bundled care was assessed through an online survey of a panel of five experts, whose responses were analyzed via an analysis of variance (ANOVA) at a 95% confidence level. We further assessed the face validity of the HCCs using evidence in the published literature.
resultsThe framework inferred four HCCs, indicative of (1) fetal abnormalities, (2) late pregnancies, (3) prostate problems, and (4) chronic diseases, with congestive heart failure featuring prominently. Each HCC was substantiated with evidence in the literature and was deemed plausible for bundled care by the experts at a statistically significant level.
conclusionsThe findings suggest that an automated EMR data-driven framework conducted can provide a basis for discovering bundled care opportunities. Still, translating such findings into actual care management will require further refinement, implementation, and evaluation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.